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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Divorce Rates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: pylab import has clobbered these variables: ['datetime']\n",
      "`%matplotlib` prevents importing * from pylab and numpy\n"
     ]
    }
   ],
   "source": [
    "from lifelines.estimation import AalenAdditiveFitter\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import patsy\n",
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/camerondavidson-pilon/.virtualenvs/data/lib/python2.7/site-packages/IPython/kernel/__main__.py:1: ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support regex separators; you can avoid this warning by specifying engine='python'.\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "data = pd.read_csv('../lifelines/datasets/divorce.dat', sep=\"\\s{2,10}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>heduc</th>\n",
       "      <th>heblack</th>\n",
       "      <th>mixed</th>\n",
       "      <th>years</th>\n",
       "      <th>div</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9</td>\n",
       "      <td>12-15 years</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>10.546</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11</td>\n",
       "      <td>&lt; 12 years</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>34.943</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13</td>\n",
       "      <td>&lt; 12 years</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2.834</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>15</td>\n",
       "      <td>&lt; 12 years</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>17.532</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>33</td>\n",
       "      <td>12-15 years</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1.418</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>36</td>\n",
       "      <td>&lt; 12 years</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>48.033</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>43</td>\n",
       "      <td>16+ years</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>16.706</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>47</td>\n",
       "      <td>&lt; 12 years</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>24.999</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>50</td>\n",
       "      <td>&lt; 12 years</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>24.999</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>56</td>\n",
       "      <td>&lt; 12 years</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>3.869</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/latex": [
       "\\begin{tabular}{lrlllrl}\n",
       "\\toprule\n",
       "{} &  id &        heduc & heblack & mixed &   years &  div \\\\\n",
       "\\midrule\n",
       "0 &   9 &  12-15 years &      No &    No &  10.546 &   No \\\\\n",
       "1 &  11 &   < 12 years &      No &    No &  34.943 &   No \\\\\n",
       "2 &  13 &   < 12 years &      No &    No &   2.834 &  Yes \\\\\n",
       "3 &  15 &   < 12 years &      No &    No &  17.532 &  Yes \\\\\n",
       "4 &  33 &  12-15 years &      No &    No &   1.418 &   No \\\\\n",
       "5 &  36 &   < 12 years &      No &    No &  48.033 &   No \\\\\n",
       "6 &  43 &    16+ years &      No &    No &  16.706 &   No \\\\\n",
       "7 &  47 &   < 12 years &      No &    No &  24.999 &   No \\\\\n",
       "8 &  50 &   < 12 years &      No &    No &  24.999 &   No \\\\\n",
       "9 &  56 &   < 12 years &     Yes &    No &   3.869 &   No \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "   id        heduc heblack mixed   years  div\n",
       "0   9  12-15 years      No    No  10.546   No\n",
       "1  11   < 12 years      No    No  34.943   No\n",
       "2  13   < 12 years      No    No   2.834  Yes\n",
       "3  15   < 12 years      No    No  17.532  Yes\n",
       "4  33  12-15 years      No    No   1.418   No\n",
       "5  36   < 12 years      No    No  48.033   No\n",
       "6  43    16+ years      No    No  16.706   No\n",
       "7  47   < 12 years      No    No  24.999   No\n",
       "8  50   < 12 years      No    No  24.999   No\n",
       "9  56   < 12 years     Yes    No   3.869   No"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = patsy.dmatrix('heduc + heblack + heblack:mixed + years + mixed + div -1 ', data, return_type='dataframe')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>heduc[12-15 years]</th>\n",
       "      <th>heduc[16+ years]</th>\n",
       "      <th>heduc[&lt; 12 years]</th>\n",
       "      <th>heblack[T.Yes]</th>\n",
       "      <th>mixed[T.Yes]</th>\n",
       "      <th>div[T.Yes]</th>\n",
       "      <th>heblack[T.Yes]:mixed[T.Yes]</th>\n",
       "      <th>years</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>34.943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2.834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>17.532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.418</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/latex": [
       "\\begin{tabular}{lrrrrrrrr}\n",
       "\\toprule\n",
       "{} &  heduc[12-15 years] &  heduc[16+ years] &  heduc[< 12 years] &  heblack[T.Yes] &  mixed[T.Yes] &  div[T.Yes] &  heblack[T.Yes]:mixed[T.Yes] &   years \\\\\n",
       "\\midrule\n",
       "0 &                   1 &                 0 &                  0 &               0 &             0 &           0 &                            0 &  10.546 \\\\\n",
       "1 &                   0 &                 0 &                  1 &               0 &             0 &           0 &                            0 &  34.943 \\\\\n",
       "2 &                   0 &                 0 &                  1 &               0 &             0 &           1 &                            0 &   2.834 \\\\\n",
       "3 &                   0 &                 0 &                  1 &               0 &             0 &           1 &                            0 &  17.532 \\\\\n",
       "4 &                   1 &                 0 &                  0 &               0 &             0 &           0 &                            0 &   1.418 \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "   heduc[12-15 years]  heduc[16+ years]  heduc[< 12 years]  heblack[T.Yes]  \\\n",
       "0                   1                 0                  0               0   \n",
       "1                   0                 0                  1               0   \n",
       "2                   0                 0                  1               0   \n",
       "3                   0                 0                  1               0   \n",
       "4                   1                 0                  0               0   \n",
       "\n",
       "   mixed[T.Yes]  div[T.Yes]  heblack[T.Yes]:mixed[T.Yes]   years  \n",
       "0             0           0                            0  10.546  \n",
       "1             0           0                            0  34.943  \n",
       "2             0           1                            0   2.834  \n",
       "3             0           1                            0  17.532  \n",
       "4             0           0                            0   1.418  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "aaf = AalenAdditiveFitter(fit_intercept=True, coef_penalizer=1.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'heduc[12-15 years]', u'heduc[16+ years]', u'heduc[< 12 years]',\n",
       "       u'heblack[T.Yes]', u'mixed[T.Yes]', u'div[T.Yes]',\n",
       "       u'heblack[T.Yes]:mixed[T.Yes]', u'years'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "timeline = np.linspace(0, 35, 1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [-----------------100%-----------------] 1032 of 1032 complete in 1.1 sec\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<lifelines.AalenAdditiveFitter: fitted with 3371 observations, 2339 censored>"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aaf.fit(df, 'years', event_col='div[T.Yes]', timeline=timeline)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x11b491d50>"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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3LulQQs9yjvCV2xFmdl1m+T7AgcCX4/JdzKylah9rACXgMDMrdvJa5vX6/wD8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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11b1a0490>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize(12.5, 8.5)\n",
    "#aaf.cumulative_hazards_.ix[:][[\"baseline\"]].plot()\n",
    "#aaf.cumulative_hazards_.ix[:][[\"bb\",\"bw\",\"wb\",\"ww\"]].plot()\n",
    "aaf.cumulative_hazards_.plot()\n",
    "plt.legend(loc='upper left')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}